Hypercomplex Mathematical Morphology

被引:1
作者
Jesús Angulo
机构
[1] Mathématiques et Systèmes,CMM
[2] MINES ParisTech,Centre de Morphologie Mathématique
来源
Journal of Mathematical Imaging and Vision | 2011年 / 41卷
关键词
Nonlinear image filtering; Mathematical morphology; Adjunction; Complex images; Complex ordering; Hypercomplex ordering; Quaternion;
D O I
暂无
中图分类号
学科分类号
摘要
The natural ordering of grey levels is used in classical mathematical morphology for scalar images to define the erosion/dilation and the evolved operators. Various operators can be sequentially applied to the resulting images always using the same ordering. In this paper we propose to consider the result of a prior transformation to define the imaginary part of a complex image, where the real part is the initial image. Then, total orderings between complex numbers allow defining subsequent morphological operations between complex pixels. More precisely, the total orderings are lexicographic cascades with the local modulus and phase values of these complex images. In this case, the operators take into account simultaneously the information of the initial image and the processed image. In addition, the approach can be generalized to the hypercomplex representation (i.e., real quaternion) by associating to each image three different operations, for instance directional filters. Total orderings initially introduced for colour quaternions are used to define the evolved morphological transformations. Effects of these new operators are illustrated with different examples of filtering.
引用
收藏
页码:86 / 108
页数:22
相关论文
共 50 条
  • [1] Angulo J.(2010)Geometric algebra colour image representations and derived total orderings for morphological operators—Part I: Colour quaternions J. Vis. Commun. Image Represent. 21 33-48
  • [2] Batard T.(2009)A metric approach to nD images edge detection with Clifford algebras J. Math. Imaging Vis. 33 296-312
  • [3] Saint-Jean C.(2009)Duality vs. adjunction for fuzzy mathematical morphology and general form of fuzzy erosions and dilations Fuzzy Sets Syst. 160 1858-1867
  • [4] Berthier M.(2001)Hypercomplex signals—a novel extension of the analytic signal to the multidimensional case IEEE Trans. Image Process. 49 2844-2852
  • [5] Bloch I.(2002)Gray-scale morphology based on fuzzy logic J. Math. Imaging Vis. 16 155-171
  • [6] Bülow T.(2007)Spatial and spectral quaternionic approaches for colour images Comput. Vis. Image Underst. 107 74-87
  • [7] Sommer G.(1986)A note on the gradient of a multi-image Comput. Vis. Graph. Image Process. 33 116-125
  • [8] Deng T.Q.(2007)Hypercomplex Fourier transform of color images IEEE Trans. Image Process. 16 22-35
  • [9] Heijmans H.J.A.M.(2001)The monogenic signal IEEE Trans. Image Process. 49 3136-3144
  • [10] Denis P.(2004)The monogenic scale-space: A unifying approach to phase-based image processing in scale-space J. Math. Imaging Vis. 21 5-26